How does Belarusian Sentiment Analysis work?
- Natural Language Processing (NLP). NLP techniques are used to process and analyze large amounts of textual data in the Belarusian language, enabling machine understanding of sentiment.
- Machine Learning. Machine learning algorithms are trained on labeled sentiment data to classify new instances of text based on learned patterns.
- Sentiment Lexicon. A sentiment lexicon contains lists of words and phrases with associated sentiment scores, helping in determining the sentiment of input text.
- Deep Learning. Deep learning models utilize neural networks to capture complex patterns in text, improving the accuracy of sentiment classification.
